Proteomics RIME-TMT analysis report
Holding: Changes in GRHL2 interactome on Activation
This report provides a summary of the results of your proteomics experiment.
Your experiment has 11 samples. 9032 peptides from 1514 unique proteins were captured in the experiment. Each protein is represented by 1 to 255 peptides, but median number of peptides per protein was 2.
Figure 1 shows the coverage of the bait protein, GRHL2, in terms of peptides detected.
Figure 1. Plot of peptide coverage for GRHL2 (UniprotID: Q6ISB3)
Figure 2 shows the distribution of raw peptide intensities for each sample.
Figure 2. Raw intensities plot.
Figure 3 shows the raw intensities for each peptide detected for the bait protein GRHL2 in each sample.
Figure 3. Peptide intensities for GRHL2.
Figure 4 shows a correlation matrix to visualize the level of linear association of samples within and between groups based on the raw peptide intensities.
Figure 4. Correlation plot based on raw intensities.
Figure 5 shows a dendrogram displaying the hierarchical relationship among samples. The vertical axis shows the dissimilarity (measured by means of the Euclidean distance) between samples: similar
samples appear on the same branches. Colors correspond to sample groups.
Figure 5. Hierachical clustering based on raw intensities.
Figure 6 shows a visual representation of the scaled loading of the first two dimensions of a principle component analysis of the raw peptide intensities.
List of 1 $ aspect.ratio: num 1 - attr(, “class”)= chr [1:2] “theme” “gg” - attr(, “complete”)= logi FALSE - attr(*, “validate”)= logi TRUEFigure 6. Principle Component Analysis based on raw intensities.
The sample Ctrl rep 1 appears to be an outlier. The differential anlaysis was carried out twice, first with this sample included and then again with the sample excluded.
The following section shows the results for analysis of all 8 samples.
Normalisation was carried out using median scaling. The experimental samples and the IgG control samples were normalised separately. Figure 7 show the effects of normalisation on the intensity plots and the principle component analysis.
Figure 7. Effects of normalisation on peptide intensities.
The following section shows the same analysis, but with the Ctrl rep 1 sample removed
Normalisation was carried out using median scaling. The experimental samples and the IgG control samples were normalised separately. Figure 10 show the effects of normalisation on the intensity plots and the principle component analysis.
Figure 10. Effects of normalisation on peptide intensities.
Figure 11 shows differential abundancy results for the contrasts ER_v_Ctrl. Figure 10 shows an MA plot and a volcano plot of the differental analysis results
Figure 12. MA plot and volcano plot of differential protein abundancy.